@conference {689,
	title = {Enhancing Inland Water Safety: The Lake Constance Obstacle Detection Benchmark},
	booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2024},
	pages = {14808-14814},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Yokohama, Japan},
	doi = {10.1109/ICRA57147.2024.10610600},
	author = {Dennis Griesser and Matthias O. Franz and Georg Umlauf}
}
@article {679,
	title = {Bayesian Calibration of MEMS Accelerometers},
	journal = {IEEE Sensors Journal},
	year = {2023},
	author = {D{\"u}rr, Oliver and Fan, Po-Yu and Yin, Zong-Xian}
}
@conference {671,
	title = {Development and application of a climate emulator},
	booktitle = {EGU23},
	year = {2023},
	author = {Tamas Bodai and Valerio Lembo and Valerio Lembo and Sun-Seon Lee and Miho Ishizu and Matthias Franz}
}
@conference {676,
	title = {Incremental one-class learning using regularized null-space training for industrial defect detection},
	booktitle = {16th International Conference on Machine Vision (ICMV)},
	year = {2023},
	month = {11/2023},
	abstract = {One-class incremental learning is a special case of class-incremental learning, where only a single novel class is incrementally added to an existing classifier instead of multiple classes.
This case is relevant in industrial defect detection scenarios, where novel defects usually appear during operation. 
Existing rolled-out classifiers must be updated incrementally in this scenario with only a few novel examples.
In addition, it is often required that the base classifier must not be altered due to approval and warranty restrictions.
While simple finetuning often gives the best performance across old and new classes, it comes with the drawback of potentially losing performance on the base classes (catastrophic forgetting).
Simple prototype approaches work without changing existing weights and perform very well when the classes are well separated but fail dramatically when not.
In theory, null-space training (NSCL) should retain the basis classifier entirely, as parameter updates are restricted to the null space of the network with respect to existing classes.
However, as we show, this technique promotes overfitting in the case of one-class incremental learning.
In our experiments, we found that unconstrained weight growth in null space is the underlying issue, leading us to propose a regularization term (R-NSCL) that penalizes the magnitude of amplification.
The regularization term is added to the standard classification loss and stabilizes null-space training in the one-class scenario by counteracting overfitting. 
We test the method{\textquoteright}s capabilities on two industrial datasets, namely AITEX and MVTec, and compare the performance to state-of-the-art algorithms for class-incremental learning.},
	author = {Matthias Hermann and Georg Umlauf and Bastian Goldl{\"u}cke and Matthias O.  Franz}
}
@conference {674,
	title = {Visual Pitch and Roll Estimation For Inland Water Vessels},
	booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2023},
	pages = {1961-1967},
	publisher = {IEEE},
	organization = {IEEE},
	address = {London, United Kingdom},
	doi = {10.1109/ICRA48891.2023.10160460},
	author = {Dennis Griesser and Georg Umlauf and Matthias O. Franz}
}
@article {670,
	title = {Fast and efficient image novelty detection based on mean-shifts},
	journal = {Sensors | Unusual Behavior Detection Based on Machine Learning },
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Bastian Goldl{\"u}cke and Matthias O. Franz}
}
@conference {664,
	title = {Fast and memory-efficient independent component analysis using Lie group techniques},
	booktitle = {International Conference on Curves and Surfaces},
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Matthias O. Franz}
}
@conference {663,
	title = {Image novelty detection based on mean-shift and typical set size},
	booktitle = {21th International Conference on Image Analysis and Processing, ICIAP},
	year = {2022},
	author = {Matthias Hermann and Bastian Goldl{\"u}cke and Matthias O. Franz}
}
@conference {649,
	title = {Large-scale independent component analysis by speeding up Lie group techniques},
	booktitle = { International Conference on Acoustics, Speech, and Signal Processing, ICASSP},
	year = {2022},
	author = {Matthias Hermann and Georg Umlauf and Matthias O. Franz}
}
@conference {665,
	title = {Targetless Lidar-camera registration using patch-wise mutual information},
	booktitle = {International Conference on Information Fusion},
	year = {2022},
	author = {Matthias Hermann and Dennis Griesser and Bernhard Gundel and Daniel Dold and Georg Umlauf and Matthias O. Franz}
}
@conference {629,
	title = {Biologically-inspired vs. CNN texture representations in novelty detection},
	booktitle = {Applications of Machine Learning 2021},
	year = {2021},
	pages = {118430I},
	publisher = {International Society for Optics and Photonics},
	organization = {International Society for Optics and Photonics},
	author = {Michael Grunwald and Matthias Hermann and Freiberg, Fabian and Matthias O. Franz}
}
@proceedings {627,
	title = {CNN-Based Monocular 3D Ship Detection Using Inverse Perspective},
	year = {2020},
	author = {Dennis Griesser and Daniel Dold and Georg Umlauf and Matthias O. Franz}
}
@article {625,
	title = {Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data},
	journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
	volume = {168},
	year = {2020},
	pages = {156 - 169},
	keywords = {Convolutional networks, Deep learning, Forest establishment, Object detection, Tree seedlings, Unmanned aerial vehicles},
	issn = {0924-2716},
	doi = {https://doi.org/10.1016/j.isprsjprs.2020.08.005},
	url = {http://www.sciencedirect.com/science/article/pii/S0924271620302136},
	author = {Grant D. Pearse and Alan Y.S. Tan and Michael S. Watt and Matthias O. Franz and Jonathan P. Dash}
}
@conference {604,
	title = {Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification},
	booktitle = {15th IAPR International Conference on Document Analysis and Recognition},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Marc-Peter Schambach and Matthias O. Franz}
}
@conference {595,
	title = {Deep Learning Parametrization for B-Spline Curve Approximation},
	booktitle = {2018 International Conference on 3D Vision (3DV)},
	year = {2018},
	pages = {691{\textendash}699},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Pascal Laube and M O Franz and Georg Umlauf}
}
@conference {594,
	title = {Image Inpainting for High-Resolution Textures using CNN Texture Synthesis},
	booktitle = {Computer Graphics \& Visual Computing (CGVC)},
	year = {2018},
	publisher = {Eurographics Association},
	organization = {Eurographics Association},
	address = {Swansea UK},
	author = {Pascal Laube and Grunwald Michael and M O Franz and Georg Umlauf}
}
@article {524,
	title = {Learnt knot placement in B-spline curve approximation using support vector machines},
	journal = {Computer Aided Geometric Design},
	volume = {62},
	year = {2018},
	pages = {104{\textendash}116},
	author = {Pascal Laube and Franz, Matthias O. and Georg Umlauf}
}
@conference {522,
	title = {LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries},
	booktitle = {13th IAPR International Workshop on Document Analysis Systems},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Haiyan P. Buehrig and Marc-Peter Schambach and M O Franz}
}
@conference {521,
	title = {Multi-Dimensional Connectionist Classification: Reading Text in One Step},
	booktitle = {13th IAPR International Workshop on Document Analysis Systems},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@conference {598,
	title = {Optical Surface Detection: A novelty detection approach based on CNN-encoded features},
	booktitle = {SPIE Optics and Photonics},
	year = {2018},
	month = {10/2018},
	pages = {10752 - 10752 - 13},
	author = {Grunwald, Michael and Matthias Hermann and Freiberg, Fabian and Matthias O. Franz}
}
@conference {597,
	title = {Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition},
	booktitle = {Visualization in Data Science (VDS at IEEE VIS) 2018},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Berlin/Germany},
	author = {Martin Schall and Dominik Sacha and Manuel Stein and M O Franz and Daniel A. Keim}
}
@conference {525,
	title = {Evaluation of features for SVM-based classification of geometric primitives in point clouds},
	booktitle = {Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on},
	year = {2017},
	pages = {59{\textendash}62},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Pascal Laube and M O Franz and Georg Umlauf}
}
@conference {509,
	title = {Radiometric calibration of digital cameras using neural networks},
	booktitle = {Optics and Photonics for Information Processing XI},
	year = {2017},
	month = {08/2017},
	publisher = {SPIE - International Society for Optics and Photonics},
	organization = {SPIE - International Society for Optics and Photonics},
	doi = {10.1117/12.2272559},
	url = {http://dx.doi.org/10.1117/12.2272559},
	author = {Michael Grunwald and Pascal Laube and Martin Schall and Georg Umlauf and M O Franz}
}
@conference {505,
	title = {Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method},
	booktitle = {Conference: BW-CAR Symposium on Information and Communication Systems (SInCom)},
	year = {2016},
	month = {12/2016},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@conference {491,
	title = {Increasing robustness of handwriting recognition using character n-gram decoding on large lexica},
	booktitle = {12th IAPR International Workshop on Document Analysis Systems},
	year = {2016},
	publisher = {IEEE},
	organization = {IEEE},
	keywords = {connectionist temporal classification, lexicon based decoding, long-short-term-memory, n-gram index, offline handwriting recognition, recurrent neural network},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@conference {503,
	title = {Radiometric calibration of digital cameras using sparse Gaussian processes},
	booktitle = {Workshop Farbbildverarbeitung},
	year = {2016},
	author = {Michael Grunwald and Jens Gansloser and M O Franz}
}
@article {504,
	title = {Wahrnehmungsorientierte optische Inspektion von texturierten Oberfl{\"a}chen},
	journal = {INFORMATIK 2016, Lecture Notes in Informatics (LNI), Gesellschaft f{\"u}r Informatik},
	volume = {259},
	year = {2016},
	pages = {1963{\textendash}1968},
	author = {Michael Grunwald and M O Franz}
}
@article {489,
	title = {Pixel-wise Hybrid Image Registration on Wood Decors},
	journal = {BW-CAR| SINCOM},
	year = {2015},
	pages = {24},
	isbn = { 978-3-00-051859-1},
	author = {Michael Grunwald and M{\"u}ller, J and Martin Schall and Pascal Laube and Georg Umlauf and M O Franz}
}
@conference {490,
	title = {Radiometric calibration of digital cameras using Gaussian processes},
	booktitle = {SPIE Optics+ Optoelectronics},
	year = {2015},
	publisher = {International Society for Optics and Photonics},
	organization = {International Society for Optics and Photonics},
	doi = {10.1117/12.2178601},
	author = {Martin Schall and Michael Grunwald and Georg Umlauf and M O Franz}
}
@conference {486,
	title = {{Support Vector Machines for Classification of Geometric Primitives in Point Clouds}},
	booktitle = {Curves and Surfaces, 8th International Conference, Paris 2014},
	year = {2015},
	pages = {80-95},
	publisher = {Springer},
	organization = {Springer},
	author = {Manuel Caputo and Klaus Denker and M O Franz and Pascal Laube and Georg Umlauf},
	editor = {Boissonnat, J-D and Cohen, A and Gibaru, O and Gout, C and Lyche, T and Mazure, M-L and Schumaker, L L}
}
@conference {262,
	title = {Merging multiple 3d face reconstructions},
	booktitle = {Symposium on Information and Communication Systems},
	year = {2014},
	pages = {7-12},
	author = {Leonard Thie{\ss}en and Pascal Laube and M O Franz and Georg Umlauf},
	editor = {Dirk Benyoucef and Christoph Reich}
}
@conference {187,
	title = {A hand-held laser scanner based on multi-camera stereo-matching},
	booktitle = {Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop},
	year = {2012},
	author = {Christoph Bender and Klaus Denker and Markus Friedrich and Kai Hirt and Georg Umlauf}
}
@conference {183,
	title = {Geometric properties of the adaptice Delaunay tessellation},
	booktitle = {Mathematical Methods of Curves and Surfaces, Tondsberg 2008},
	year = {2010},
	author = {Tom Bobach and Alexandru Constantiniu and Paul Steinmann and Georg Umlauf},
	editor = {D{\ae}hlen, M. and Floater, M.S. and Lyche, T. and Merrien, J.-L. and Morken, K. and Schumaker, L.L.}
}
@article {202,
	title = {Natural neighbor extrapolation using ghost points},
	journal = {Computer Aided-Design},
	volume = {41},
	year = {2009},
	pages = {350-365},
	author = {Tom Bobach and Gerald Farin and Dianne Hansford and Georg Umlauf}
}
@article {182,
	title = {The adaptive Delaunay tesselation: A neighborhood covering meshing technique},
	journal = {Computational Mechanics},
	volume = {42},
	year = {2008},
	pages = {655-669},
	author = {Alexandru Constantiniu and Paul Steinmann and Tom Bobach and Gerald Farin and Georg Umlauf}
}
@conference {185,
	title = {Discrete harmonic functions from local coordinates},
	booktitle = {Mathematics of Surfaces XII},
	year = {2007},
	publisher = {Springer-Verlag},
	organization = {Springer-Verlag},
	author = {Tom Bobach and Gerald Farin and Dianne Hansford and Georg Umlauf},
	editor = {R.~Martin and M.~Sabin and J.~Winkler}
}
